Machine Learning/AI Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.

Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges.

We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

AMD together we advance

Job Description :

We are currently seeking an Experienced Machine Learning / AI Engineer to join our expanding team at AMD, Inc. In this role, you will have the opportunity to make a significant impact by developing, implementing, and improving AI and machine learning solutions across our technology and product offerings.

Your expertise in AI and machine learning, as well as your passion for innovation, will play a key role in AMD's continued growth and success.

Responsibilities :

• Develop and implement machine learning and artificial intelligence models, algorithms, and systems tailored to specific project goals and requirements.
• Collaborate effectively with cross-functional teams, including product managers, researchers, hardware engineers, and software developers to deliver comprehensive AI solutions.
• Continuously explore, evaluate, and implement cutting-edge techniques and methodologies to enhance product performance and develop new features.
• Optimize machine learning models to ensure efficient deployment on AMD hardware and software platforms.
• Monitor the performance of deployed models, maintain, and update as necessary, and troubleshoot any related issues.
• Stay current on the latest advancements in the field of AI and machine learning, sharing knowledge and insights within the organization to foster a culture of innovation.

Preferred Requirements :

• Bachelor's degree in Computer Science, Computer Engineering, or a related field; advanced degree (MS or Ph.D.) preferred.
• Strong understanding of AI / ML concepts and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, and probabilistic graphical models.
• Hands-on experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, and Scikit-learn.
• Proficient in programming languages such as Python, C++, and Java.
• Familiarity with AMD's hardware (GPU, CPU, and APU) and software (ROCm, OpenCL, HIP) platforms is a plus.
• Strong analytical, problem-solving, and critical-thinking skills, with the ability to work independently and as part of a team.
• Excellent written and verbal communication skills, with the ability to effectively communicate complex concepts to a diverse audience.

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At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position.

You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD's Employee Stock Purchase Plan.

You'll also be eligible for competitive benefits described in more detail here.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and / or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.

We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.